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Course Outline

AI-Assisted Software Engineering

  • Examining the role of AI in contemporary software development.
  • Exploring the capabilities and constraints of AI-assisted coding.
  • Comparing DeepSeek Coder with other AI coding tools.

Scaling AI-Assisted Development for Large Codebases

  • Efficiently generating and refactoring large-scale code with AI.
  • Incorporating AI-assisted documentation and inline code explanations.
  • Best practices for evaluating AI-generated code within team structures.

Advanced AI-Powered Debugging

  • Using AI to pinpoint and resolve complex bugs.
  • Creating unit and integration tests utilizing DeepSeek Coder.
  • Applying AI for error pattern analysis and predictive debugging.

Automating Software Development Workflows

  • Conducting AI-assisted code reviews and static code analysis.
  • Generating CI/CD scripts and configuration files with AI support.
  • Implementing AI-driven task automation within software teams.

Integrating AI into DevOps and CI/CD Pipelines

  • Enhancing DevOps practices through AI-powered automation.
  • Utilizing DeepSeek Coder for continuous integration and deployment.
  • Navigating security and compliance aspects of AI-assisted development.

Optimizing Performance with AI

  • Refactoring AI-generated code for improved efficiency and maintainability.
  • Detecting and preventing performance bottlenecks using AI.
  • Aligning AI-assisted development with agile methodologies effectively.

Real-World Applications and Case Studies

  • Applying AI-assisted development in large-scale software initiatives.
  • Industry examples: AI-driven automation in software engineering.
  • Emerging trends and advancements in AI-assisted coding.

Summary and Future Directions

Requirements

  • Practical experience in programming and software development.
  • Foundational knowledge of DeepSeek Coder or comparable AI-assisted coding utilities.
  • Proficiency in debugging, code optimization, and standard software development processes.

Target Audience

  • Developers seeking to enhance coding efficiency through AI.
  • Data engineers looking to automate and refine large-scale scripting.
  • Software teams integrating AI technologies into DevOps and CI/CD infrastructures.
 14 Hours

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